Lacey, Gerard, Zhou, Jiang, Li, Xuchun, Craven, Christine and Gush, Chris (2020) The impact of automatic video auditing with real-time feedback on the quality and quantity of handwash events in a hospital setting. American Journal of Infection Control, 48 (2). pp. 162-166. ISSN 0196-6553
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Official URL: https://doi.org/10.1016/j.ajic.2019.06.015
Abstract
Background: Poor quality handwashing contributes to the spread of nosocomial infections. We investigate
the impact of automatic video auditing (AVA) with feedback on the quality and quantity of handwashing in a
hospital setting.
Methods: AVA systems were mounted over all handwash sinks in a surgical unit. Phase 1 established baseline
handwashing quality and quantity. Phase 2 examined the impact of real-time performance feedback, and
phase 3 examined the incremental impact of weekly team performance reports. Phase 4 remeasured the
baseline without feedback.
Results: A total of 3,606 handwash events were audited. During phase 2 and 3, compliance with the World
Health Organization technique improved from 15.7%-46% (P < .0001), and the average number of handwash
events per patient per day increased from 0.91-2.25 (P < .0001). Performance returned to baseline in phase 4.
Conclusions: AVA with real-time feedback significantly improved the quality and quantity of handwashing.
The combination of AVA with electronic monitoring will allow simultaneous auditing of hand hygiene quantity and quality. The impact of cognitive offloading onto the technology may have contributed to the return
to baseline at the end of the study, and suggests further research is required in this area
Item Type: | Article |
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Additional Information: | Gerard Lacey, Jiang Zhou, Xuchun Li, Christine Craven, Chris Gush, The impact of automatic video auditing with real-time feedback on the quality and quantity of handwash events in a hospital setting, American Journal of Infection Control, Volume 48, Issue 2, 2020, Pages 162-166, ISSN 0196-6553, https://doi.org/10.1016/j.ajic.2019.06.015. Copyright: Open access |
Keywords: | Handwashing; Training; Feedback; IT for infection control Image processing; Artificial intelligence |
Academic Unit: | Faculty of Science and Engineering > Electronic Engineering Faculty of Science and Engineering > Research Institutes > Hamilton Institute |
Item ID: | 16612 |
Identification Number: | 10.1016/j.ajic.2019.06.015 |
Depositing User: | Gerard Lacey |
Date Deposited: | 13 Oct 2022 10:37 |
Journal or Publication Title: | American Journal of Infection Control |
Refereed: | Yes |
Related URLs: | |
URI: | https://mu.eprints-hosting.org/id/eprint/16612 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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